AI Agents in 2026: Build, Deploy, and Scale (Full Guide)
What AI agents are, how the agent loop works, frameworks vs raw API, memory, multi-agent systems, and MCP. The 2026 builder's roadmap.
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6 in-depth agents articles on setup, real workflows, and production patterns — written for builders shipping with AI.
What AI agents are, how the agent loop works, frameworks vs raw API, memory, multi-agent systems, and MCP. The 2026 builder's roadmap.
Run 3-8 parallel Claude Code agents for search, testing, and refactoring. Task tool patterns and real workflows that 3x throughput.
A complete tutorial on building an AI agent from scratch in Python — no LangChain, no framework. Just the Anthropic SDK, a tool-use loop, and ~60 lines of code that you fully understand and control.
LangChain has 80K stars. CrewAI has 20K. The raw Anthropic/OpenAI SDK is 60 lines. Which should you build your AI agent on? After shipping production agents in all three, here is the honest decision framework.
Build a working multi-agent system in Python — a coordinator agent delegates to specialized workers, handles failures, and synthesizes results. Complete code, real examples, no framework lock-in.
Apache 2.0, native function calling, runs on Raspberry Pi to RTX 4090. Full Ollama setup guide with LangChain ReAct agent code.